Materialized Lake Views in Microsoft Fabric: When Your Medallion Fits in a SELECT Statement

Materialized lake views (MLVs) in Microsoft Fabric simplify medallion data architectures by replacing complex pipelines with declarative Spark SQL or PySpark definitions. Fabric automatically manages the execution, storage as a Delta table, dependency tracking, and data quality for these views. The system uses an optimal refresh engine that intelligently chooses between full, incremental, or skipped refreshes, with incremental processing being a key efficiency gain. Recent updates for general availability have made MLVs production-ready by adding multi-schedule support, expanded SQL compatibility for incremental refreshes, and PySpark authoring.